The scientific base of magnetic fusion research comprises three capabilities: experimental research, theoretical understanding and computational modeling, with modeling providing the necessary link between the other two. The US now faces a budget climate that will preclude the construction of major new MFE facilities and limit MFE experimental operations. The situation is rather analogous to the one experienced by the DOE Defense Programs (DP), in which continued viability of the nuclear stockpile must be ensured despite the prohibition of underground experimental tests. DP is meeting this challenge, in part, by launching the Accelerated Strategic Computing Initiative (ASCI) to bring advanced algorithms and new hardware to bear on the probl...
The overall science goal of the FSP is to develop predictive simulation capability for magnetically ...
Nuclear fusion - the process that powers the sun - offers an environmentally benign, intrinsically s...
Abstract Machine learning and artificial intelligence (ML/AI) methods have been used successfully i...
The authors propose that a national initiative by launched to develop a comprehensive simulation fac...
This paper highlights the scientific and computational challenges facing the Fusion Simulation Progr...
The importance of computer modeling in magnetic fusion (MFE) and energy research (ER) programs is di...
The application of computers to magnetic fusion energy research is essential. In the last several ye...
This document summarizes a strategic study addressing the development of a comprehensive modeling an...
Plasma/material interactions (PMI) during four types of plasma transient/instabilities is a critical...
This report summarizes the work of the National Fusion Collaboratory (NFC) Project funded by the Uni...
Many others in the fusion energy and advanced scientific computing communities participated in the d...
During the past several decades magnetic fusion has made outstanding progress in understanding the s...
The US Department of Energy`s (DOE) Accelerated Strategic Computing Initiative (ASCI) program calls ...
Magnetized Target Fusion (MTF) is an approach to controlled fusion which potentially avoids the diff...
This report summarizes the work of the National Fusion Collaboratory (NFC) Project to develop a pers...
The overall science goal of the FSP is to develop predictive simulation capability for magnetically ...
Nuclear fusion - the process that powers the sun - offers an environmentally benign, intrinsically s...
Abstract Machine learning and artificial intelligence (ML/AI) methods have been used successfully i...
The authors propose that a national initiative by launched to develop a comprehensive simulation fac...
This paper highlights the scientific and computational challenges facing the Fusion Simulation Progr...
The importance of computer modeling in magnetic fusion (MFE) and energy research (ER) programs is di...
The application of computers to magnetic fusion energy research is essential. In the last several ye...
This document summarizes a strategic study addressing the development of a comprehensive modeling an...
Plasma/material interactions (PMI) during four types of plasma transient/instabilities is a critical...
This report summarizes the work of the National Fusion Collaboratory (NFC) Project funded by the Uni...
Many others in the fusion energy and advanced scientific computing communities participated in the d...
During the past several decades magnetic fusion has made outstanding progress in understanding the s...
The US Department of Energy`s (DOE) Accelerated Strategic Computing Initiative (ASCI) program calls ...
Magnetized Target Fusion (MTF) is an approach to controlled fusion which potentially avoids the diff...
This report summarizes the work of the National Fusion Collaboratory (NFC) Project to develop a pers...
The overall science goal of the FSP is to develop predictive simulation capability for magnetically ...
Nuclear fusion - the process that powers the sun - offers an environmentally benign, intrinsically s...
Abstract Machine learning and artificial intelligence (ML/AI) methods have been used successfully i...